AI Implementation Engineer

Processica, a leading technology company specializing in AI solutions, is currently seeking an AI Implementation Engineer to join our dynamic team. As an AI Implementation Engineer at Processica, you will have the opportunity to work on cutting-edge AI projects and contribute to the development and implementation of innovative AI solutions.

In this role, you will be responsible for working closely with clients and internal teams to understand their business requirements, design AI solutions, and implement them in a timely and efficient manner. You will collaborate with data scientists and software engineers to integrate AI algorithms into existing systems and develop scalable and reliable AI models. Additionally, you will be involved in evaluating and testing AI models to ensure their accuracy and performance.

We are looking for a technically proficient and detail-oriented individual with a strong background in AI technologies and software development. The ideal candidate should have hands-on experience in implementing AI solutions, as well as a solid understanding of machine learning techniques and algorithms.

If you are passionate about AI, enjoy solving complex problems, and thrive in a collaborative and innovative environment, we would love to hear from you!

Responsibilities

• Collaborate with clients and internal teams to understand business requirements and design AI solutions
• Implement AI algorithms and models into existing systems
• Develop and maintain scalable and reliable AI models
• Evaluate and test AI models to ensure accuracy and performance
• Optimize AI models and algorithms for performance and efficiency
• Collaborate with data scientists and software engineers to integrate AI capabilities into products
• Stay up-to-date with the latest AI technologies and trends

Requirements

• Bachelor's or Master's degree in Computer Science or a related field
• Proven experience as an AI Implementation Engineer or similar role
• Strong programming skills in languages such as Python or Java
• Experience with machine learning frameworks, such as TensorFlow or PyTorch
• Solid understanding of machine learning techniques and algorithms
• Experience in implementing and evaluating AI models
• Knowledge of data preprocessing and feature engineering
• Experience with data visualization and analysis tools
• Excellent problem-solving and analytical skills
• Strong written and verbal communication skills
• Ability to work independently and as part of a team
• Good organizational and time management skills
• Experience with big data technologies is a plus
• Understanding of cloud platforms, such as AWS or Azure, is a plus